Mathematical models of haploinsufficiency

I. Bose, R. Karmakar
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Abstract

We study simple mathematical models of gene expression to explore the possible origins of haploinsufficiency (HI). In a diploid organism, each gene exists in two copies and when one of these is mutated, the amount of proteins synthesized is reduced and may fall below a threshold level for the onset of some desired activity. This can give rise to HI, a manifestation of which is in the form of a disease. We consider both deterministic and stochastic models of gene expression and suggest possible scenarios for the occurrence of HI in the two cases. In the stochastic case, random fluctuations around the mean protein level give rise to a finite probability that the protein level falls below a threshold. Increased gene copy number and faster gene expression kinetics reduce the variance around the mean protein level. The difference between slow and fast gene expression kinetics, as regards response to a signaling gradient, is further pointed out. The majority of results reported in the paper are derived analytically.
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单倍不足的数学模型
我们研究基因表达的简单数学模型来探索单倍体功能不全(HI)的可能起源。在二倍体生物中,每个基因都有两个副本,当其中一个发生突变时,合成的蛋白质数量就会减少,并可能低于某些预期活性开始的阈值水平。这可以引起HI,其表现形式是疾病。我们考虑了基因表达的确定性和随机模型,并提出了在这两种情况下发生HI的可能情况。在随机情况下,围绕平均蛋白质水平的随机波动产生蛋白质水平低于阈值的有限概率。增加的基因拷贝数和更快的基因表达动力学降低了平均蛋白水平附近的方差。慢速和快速基因表达动力学之间的差异,就信号梯度的响应,进一步指出。文中报道的大多数结果都是解析推导出来的。
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